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GWmodel R package

Dr. Paul Harris, Rothamsted research, presenting Modelling Spatial Heterogeneity with Geographically Weighted Models.

In GWmodel, we introduce techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models.
GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description.
GWmodel includes functions to calibrate GW summary statistics, GW principal components analysis, GW discriminant analysis and various forms of GW regression; some of which are provided in basic and robust (outlier resistant) forms.

Author : Binbin Lu, Paul Harris, Martin Charlton, Chris Brunsdon, Tomoki Nakaya, Isabella Gollini.]

wiki/rstat/rgwmodel.txt · Last modified: 2017/12/05 22:53 (external edit)